This project is a comprehensive library of structured system prompts and configuration templates designed to define the behavior, persona, and operational boundaries of autonomous artificial intelligence agents. It serves as a framework for prompt engineering, providing modular instructions that help models parse complex tasks, maintain consistent interaction tones, and adhere to specific domain constraints.
The repository distinguishes itself by offering specialized configurations for agent safety and security, including protocols to prevent prompt injection and unauthorized data access. It provides standardized schemas for tool integration, enabling agents to interact reliably with external APIs, web interfaces, and local system environments. By utilizing these modular components, users can establish clear scopes for agent autonomy and enforce methodical reasoning loops that improve task accuracy.
Beyond core configuration, the project covers a broad range of capabilities for managing autonomous workflows, including file system operations, code execution, and real-time information retrieval. It supports the development of persistent, context-aware agents capable of tracking multi-step progress and summarizing interaction history. The documentation and templates are organized to facilitate the rapid deployment of agents across various research, coding, and data analysis environments.
